Detecting Disinformation in Croatian Social Media Comments

The frequency with which fake news or misinformation is published on social networks is constantly increasing. Users of social networks are confronted with many different posts every day, often with sensationalist titles and content of dubious veracity. The problem is particularly common in times of sensitive social or political situations, such as epidemics of contagious diseases or elections. As such messages can have an impact on democratic processes or cause panic among the population, many countries and the European Commission itself have recently stepped up their activities to combat disinformation campaigns on social networks. Since previous research has shown that there are no tools available to combat disinformation in the Croatian language, we proposed a framework to detect potentially misinforming content in the comments on social media. The case study was conducted with real public comments published on Croatian Facebook pages. The initial results of this framework were encouraging as it can successfully classify and detect disinformation content.

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Publication Details

Journal
Future Internet
Published
2025-04-17
DOI
https://doi.org/10.3390/fi17040178
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00
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article

Detecting Disinformation in Croatian Social Media Comments

Igor Ljubi, Gordan Gledec, Zdravko Grgić, Marin Vuković
Future Internet
Misinformation and Its Impacts
article

Detecting Disinformation in Croatian Social Media Comments

Igor Ljubi, Gordan Gledec, Zdravko Grgić, Marin Vuković
article en

Abstract

The frequency with which fake news or misinformation is published on social networks is constantly increasing. Users of social networks are confronted with many different posts every day, often with sensationalist titles and content of dubious veracity. The problem is particularly common in times of sensitive social or political situations, such as epidemics of contagious diseases or elections. As such messages can have an impact on democratic processes or cause panic among the population, many countries and the European Commission itself have recently stepped up their activities to combat disinformation campaigns on social networks. Since previous research has shown that there are no tools available to combat disinformation in the Croatian language, we proposed a framework to detect potentially misinforming content in the comments on social media. The case study was conducted with real public comments published on Croatian Facebook pages. The initial results of this framework were encouraging as it can successfully classify and detect disinformation content.

Future InternetVol. 17(4)
University of Zagreb (HR)
Openalex Percentile: Top 90%
Misinformation and Its Impacts
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